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The DataOps Vendor Landscape, 2021

DataKitchen

Download the 2021 DataOps Vendor Landscape here. DataOps is a hot topic in 2021. This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. Dagster / ElementL — A data orchestrator for machine learning, analytics, and ETL. .

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Apache Spark MLlib vs Scikit-learn: Building Machine Learning Pipelines

Towards Data Science

Code implementations for ML pipelines: from raw data to predictions Photo by Rodion Kutsaiev on Unsplash Real-life machine learning involves a series of tasks to prepare the data before the magic predictions take place. This can be done by clicking create -> cluster on the top left menu.

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Data Labeling for Machine Learning: Market Overview, Approaches, and Tools

KDnuggets

So much of data science and machine learning is founded on having clean and well-understood data sources that it is unsurprising that the data labeling market is growing faster than ever.

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The Pipeline Academy Awards 2021

Pipeline Data Engineering

2021 was about the Cambrian explosion of data engineering tooling, yet you don't have to be a data scientist to be certain that 90% of the data tools will be gone in about two years or so, and for a good reason. The 2021 Pipeline Academy Awards (The Pipies) are brought to you by Pipeline Academy.

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Celebrating Data Superheroes: The 2021 Data Impact Awards Winners

Cloudera

Given the way we have seen communities and workplace cultures come together and stand for change over what has been a disruptive 20 months, we are proud to introduce the People First category to the 2021 DIA. So, without further ado, it is with great delight that we officially publish the 2021 Data Impact Award winners!

Banking 76
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What are the Prerequisites to Learn Machine Learning?

ProjectPro

In this blog, we have mentioned all the topics that are considered as prerequisites for learning machine learning. We have covered all the subjects and the best resources that will help you learn them thoroughly. Machine learning is no exception to that. Why should you learn Machine learning?

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Machine Learning Career Track, Learning Path & Roadmap

ProjectPro

“Humans can typically create one or two good models a week; machine learning can create thousands of models a week.” In recent years, AI and Machine Learning have transformed the world, making it smarter and faster. We have put together the ideal artificial intelligence and machine learning path for you.